Scilab 5.5.1

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# regress

regression coefficients of two variables. **This function is obsolete.**

### Calling Sequence

coefs=regress(x,y)

### Arguments

- x,y
real or complex vector

### Description

This function computes the regresion coefficients of two
variables `x`

and `y`

, both numerical vectors of
same number of elements `n`

. `coefs=[a b]`

be a
1x2 matrix such that `Y=a+bX`

will be the equation of
the ordinary least square approximation to our data.

This function is obsolete. |

`regress`

.### References

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, J.Wiley & Sons, 1990.

### Examples

x=[0.5608486 0.6623569 0.7263507 0.1985144 0.5442573 0.2320748 0.2312237] y=[0.3616361 0.2922267 0.5664249 0.4826472 0.3321719 0.5935095 0.5015342] coefs=regress(x,y)

### History

Version | Description |

5.5.0 | Function tagged as obsolete. Will be removed in 5.5.1. Please use reglin instead. |

Report an issue | ||

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